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2001.01858
Cited By
High Performance I/O For Large Scale Deep Learning
7 January 2020
A. Aizman
Gavin Maltby
Thomas Breuel
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Papers citing
"High Performance I/O For Large Scale Deep Learning"
17 / 17 papers shown
Title
Same model, better performance: the impact of shuffling on DNA Language Models benchmarking
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GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification
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Zhitong Xiong
Yi Wang
Muhammad Shahzad
Franz Essl
Mark van Kleunen
Xiao Xiang Zhu
VLM
238
0
0
18 May 2025
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
Noah Lewis
J. L. Bez
Suren Byna
251
4
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16 Apr 2024
Multi-model learning by sequential reading of untrimmed videos for action recognition
Kodai Kamiya
Toru Tamaki
159
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26 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
International Conference on Information and Knowledge Management (CIKM), 2023
Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
OffRL
167
11
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09 Jan 2024
High Throughput Training of Deep Surrogates from Large Ensemble Runs
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
93
7
0
28 Sep 2023
Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD
Etay Livne
Gal Kaplun
Eran Malach
Shai Shalev-Schwatz
OffRL
148
0
0
04 Sep 2023
FFCV: Accelerating Training by Removing Data Bottlenecks
Computer Vision and Pattern Recognition (CVPR), 2023
Guillaume Leclerc
Andrew Ilyas
Logan Engstrom
Sung Min Park
Hadi Salman
Aleksander Madry
139
77
0
21 Jun 2023
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Proceedings of the VLDB Endowment (PVLDB), 2023
Alexander Isenko
R. Mayer
Hans-Arno Jacobsen
180
9
0
05 Jun 2023
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
Ivan Svogor
Christian Eichenberger
M. Spanring
M. Neun
Michael K Kopp
134
10
0
09 Nov 2022
Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Hongji Wang
Che-Yuan Liang
Shuai Wang
Zhengyang Chen
Binbin Zhang
Xu Xiang
Yan Deng
Y. Qian
172
181
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31 Oct 2022
Deep Lake: a Lakehouse for Deep Learning
Conference on Innovative Data Systems Research (CIDR), 2022
S. Hambardzumyan
Abhina Tuli
Levon Ghukasyan
Fariz Rahman
Hrant Topchyan
...
Mark McQuade
M. Harutyunyan
Tatevik Hakobyan
I. Stranic
Davit Buniatyan
140
28
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22 Sep 2022
Detecting Network-based Internet Censorship via Latent Feature Representation Learning
Computers & security (Comput. Secur.), 2022
Shawn P. Duncan
Hui Chen
161
1
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12 Sep 2022
Differentiable programming for functional connectomics
R. Ciric
A. Thomas
Oscar Esteban
R. Poldrack
114
0
0
31 May 2022
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
Interspeech (Interspeech), 2022
Binbin Zhang
Di Wu
Zhendong Peng
Xingcheng Song
Zhuoyuan Yao
Hang Lv
Linfu Xie
Chao Yang
Fuping Pan
Jianwei Niu
VLM
196
125
0
29 Mar 2022
Advances in Neural Rendering
A. Tewari
Justus Thies
B. Mildenhall
P. Srinivasan
E. Tretschk
...
S. Fanello
Jun Zhu
Gordon Wetzstein
Michael Zollhoefer
D. B. Goldman
3DH
AI4CE
289
499
0
10 Nov 2021
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Proceedings of the VLDB Endowment (PVLDB), 2019
Michael Kuchnik
George Amvrosiadis
Virginia Smith
248
10
0
01 Nov 2019
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